Advanced course Ultimate Go developed for those, who want to concentrate on deep learning of language and to understand things that have sense and semanthic.
Ultimate Go
16h 8m 46s
English
Paid
Additional
About the Author: Ardan Labs
Ardan Labs is a US training company founded by William Kennedy, focused almost entirely on Go (Golang) and the systems-engineering disciplines around it. Bill Kennedy is one of the most cited Go educators alive — co-author of Go in Action (Manning), maintainer of the Ardan Labs blog, and the lead instructor on a multi-track Go syllabus that runs from beginner through ultimate-Go advanced engineering.
The CourseFlix listing under this source carries nineteen Ardan Labs courses — covering Go language fundamentals, concurrency, advanced engineering patterns, Kubernetes (Bill teaches Go as the implementation language for cloud infrastructure), and the data-engineering / AI tracks Ardan added in recent years. Material is paid and aimed at engineers serious about Go as a career-defining language rather than as a syntax pickup.
Watch Online 91 lessons
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/ #1: Intro: Design Guidelines Intro
All Course Lessons (91)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Intro: Design Guidelines Intro Demo | 00:59 | |
| 2 | 1.1 Prepare Your Mind | 17:39 | |
| 3 | 1.2 - Productivity vs. Performance | 06:24 | |
| 4 | 1.3 - Correctness vs. Performance | 07:14 | |
| 5 | 1.4 - Code Reviews | 19:17 | |
| 6 | 1.5 - If Performance Matters | 03:32 | |
| 7 | Intro: Memory & Data Semantics | 01:13 | |
| 8 | 2.1 Variables | 15:04 | |
| 9 | 2.2 Struct Types | 22:55 | |
| 10 | 2.3.1 - Pointers-Part 1 (Pass by Values) | 17:44 | |
| 11 | 2.3.2 - Pointers-Part 2 (Sharing Data) | 07:51 | |
| 12 | 2.3.3 - Pointers-Part 3 ( Escape Analysis) | 19:47 | |
| 13 | 2.3.4 - Pointers-Part 3 ( Stack Growth) | 07:55 | |
| 14 | 2.3.5 - Pointers-Part 3 ( Garbage Collection) | 23:50 | |
| 15 | 2.4 - Constants | 11:56 | |
| 16 | Garbage Collection Addendum Part 1 | 15:01 | |
| 17 | Garbage Collection Addendum Part 2 | 15:32 | |
| 18 | Garbage Collection Addendum Part 3 | 15:31 | |
| 19 | Intro - Data Structures | 01:00 | |
| 20 | 3.1 - Arrays-Part 1 (Mechanical Sympathy) | 33:21 | |
| 21 | 3.2.1 - Arrays-Part 2 (Semantics) | 11:10 | |
| 22 | 3.2.2 - Arrays-Part 3 (Range Mechanics) | 06:40 | |
| 23 | 3.3.1 - Slices-Part 1 (Declare, Length & Reference Types) | 10:01 | |
| 24 | 3.3.2 - Slices-Part 2 (Appending Slices) | 19:41 | |
| 25 | 3.3.3-Slices-Part 3 (Taking Slices of Slices) | 13:29 | |
| 26 | 3.3.4 - Slices-Part 4 (Slices & References) | 05:35 | |
| 27 | 3.3.5 - Slices-Part 5 (Strings & Slices) | 10:24 | |
| 28 | 3.3.6 - Slices-Part 6 (Range Mechanics) | 04:16 | |
| 29 | 3.4 - Maps | 11:13 | |
| 30 | Intro - Decoupling | 00:58 | |
| 31 | 4.1.1 - Methods-Part 1 (Value & Pointer Semantics) | 16:37 | |
| 32 | 4.1.2 - Methods-Part 2 (Function/Method Variables) | 14:44 | |
| 33 | 4.2.1 - Interfaces-Part 1 (Polymorphism) | 18:20 | |
| 34 | 4.2.2 - Interfaces-Part 1 (Method Sets & Address of Value) | 13:42 | |
| 35 | 4.2.3 - Interfaces-Part 3 (Storage by Value) | 04:54 | |
| 36 | 4.2.4 - Interfaces-Part 4 (Type Assertion) | 05:21 | |
| 37 | 4.3 - Embedding | 09:51 | |
| 38 | 4.4 - Exporting | 09:52 | |
| 39 | Intro - Composition | 01:08 | |
| 40 | 5.1 - Grouping Types | 15:22 | |
| 41 | 5.2.1 - Decoupling-Part 1 | 37:03 | |
| 42 | 5.3.1 - Conversion & Assertions-Part 1 | 04:50 | |
| 43 | 5.3.2 - Conversion & Assertions-Part 2 | 10:30 | |
| 44 | 5.4 - Interface Pollution | 08:52 | |
| 45 | 5.5 - Mocking | 08:16 | |
| 46 | Intro - Error Handling | 01:08 | |
| 47 | 6.1 - Default Error Values | 10:52 | |
| 48 | 6.2 - Error Variables | 03:40 | |
| 49 | 6.3 - Types as Context | 07:00 | |
| 50 | 6.4 - Behavior as Context | 08:14 | |
| 51 | 6.5 - Find the Bug | 04:20 | |
| 52 | 6.6 - Wrapping Errors | 10:17 | |
| 53 | Intro - Packaging | 01:23 | |
| 54 | 7.1 - Language Mechanics & Design Guidelines | 11:15 | |
| 55 | 7.2 - Package-Oriented Design | 15:50 | |
| 56 | Intro - Goroutines | 01:10 | |
| 57 | 8.1 - OS Scheduler Mechanics | 33:01 | |
| 58 | 8.2 - Go Scheduler Mechanics | 27:11 | |
| 59 | 8.3 - Creating Go Routines | 19:37 | |
| 60 | Intro - Data Races | 01:10 | |
| 61 | 9.1 - Managing Data Races | 22:15 | |
| 62 | Intro - Channels | 01:12 | |
| 63 | 10.1 - Signaling Semantics | 11:09 | |
| 64 | 10.2 - Basic Patterns | 06:21 | |
| 65 | 10.3 - Fan Out | 05:18 | |
| 66 | 10.4 - Wait for Task | 02:31 | |
| 67 | 10.5 - Pooling | 05:14 | |
| 68 | 10.6 - Fan Out Semaphore | 05:22 | |
| 69 | 10.7 - Fan Out Bounded | 06:15 | |
| 70 | 10.8 - Drop Pattern | 05:07 | |
| 71 | 10.9 - Cancellation Pattern | 07:29 | |
| 72 | Intro - Concurrency Patterns | 01:12 | |
| 73 | 11.1 - Failure Detection | 18:30 | |
| 74 | Intro - Testing | 01:13 | |
| 75 | 12.1 - Basic Unit Testing | 09:26 | |
| 76 | 12.2 - Table Unit Testing | 04:10 | |
| 77 | 12.3 - Mocking Web Server Response | 07:22 | |
| 78 | 12.4 - Testing Internal Endpoints | 09:02 | |
| 79 | 12.5 - Sub Tests | 05:41 | |
| 80 | 12.6 - Code Coverage | 03:34 | |
| 81 | Intro - Benchmarking | 00:42 | |
| 82 | 13.1 - Basic Benchmarking | 09:25 | |
| 83 | 13.2 - Validate Benchmarking | 07:01 | |
| 84 | 13.3 - CPU-Bound Benchmarking | 07:04 | |
| 85 | 13.4 - IO-Bound Benchmarking | 06:05 | |
| 86 | Intro - Profiling & Tracing | 01:06 | |
| 87 | 14.1 Profiling Guidelines | 05:43 | |
| 88 | 14.2 Stack Traces | 08:29 | |
| 89 | 14.3 Micro Level Optimization | 28:21 | |
| 90 | 14.4 Macro Level Optimization | 24:48 | |
| 91 | 14.5 Execution Tracing | 38:57 |
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Frequently asked questions
What prerequisites are needed for this course?
The course is designed for those with an existing understanding of the Go programming language, as it delves into advanced topics. Students should be familiar with basic programming concepts and have some experience in coding with Go. The lessons focus on complex subjects like memory management, concurrency, and error handling, requiring a foundational knowledge of Go to fully benefit from the course material.
What types of projects or exercises will I work on during the course?
While the course does not focus on a specific project, it includes a variety of exercises aimed at deepening understanding of advanced Go concepts. Topics such as garbage collection, data structures, and concurrency are explored through practical examples and code reviews. These exercises are designed to improve performance and correctness in Go programming by applying theoretical knowledge to coding practices.
Who is the target audience for this course?
The course is intended for software developers and engineers who already have a basic understanding of Go and wish to advance their skills. It is particularly useful for those looking to optimize their code for performance and correctness, and for professionals aiming to deepen their knowledge of Go's memory and concurrency models.
How does the scope of this course compare to other Go courses?
This course focuses on the deeper semantic and performance aspects of Go programming, unlike introductory courses that cover basic syntax and programming constructs. With lessons on memory management, advanced data structures, and concurrency, it offers comprehensive coverage of topics that are essential for expert-level proficiency in Go, setting it apart from more general programming courses.
What specific tools or platforms are covered in this course?
The course covers Go-specific tools and concepts, such as the Go Scheduler, Garbage Collection, and Go's approach to memory management and data semantics. It does not focus on external platforms or third-party tools, but rather emphasizes mastering the built-in capabilities of the Go programming language itself.
What topics are not covered in this course?
The course does not cover introductory programming principles or languages other than Go. It also does not focus on building complete applications or frameworks but instead concentrates on enhancing understanding of Go's internal mechanics and improving code performance and correctness through detailed exploration of advanced topics.
What is the time commitment required to complete the course?
The course consists of 91 lessons with a total runtime of approximately 16 hours and 9 minutes. Given its advanced nature, students might need additional time for study and practice beyond the video content to fully absorb and apply the complex concepts covered in the lessons. A commitment of several weeks, depending on prior experience and study pace, would be reasonable to complete the course thoroughly.